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dc.contributor.authorSkjong, Espen
dc.contributor.authorNundal, Stian Aa.
dc.contributor.authorLeira, Frederik Stendahl
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2016-01-05T09:15:28Z
dc.date.accessioned2016-06-21T08:29:19Z
dc.date.available2016-01-05T09:15:28Z
dc.date.available2016-06-21T08:29:19Z
dc.date.issued2015
dc.identifier.citationValavanis, Kimon P. [Eds.] 2015 International Conference on Unmanned Aircraft Systems (ICUAS) p. 904-913, IEEE conference proceedings, 2015nb_NO
dc.identifier.isbn978-1-4799-6009-5
dc.identifier.urihttp://hdl.handle.net/11250/2393350
dc.description.abstractThis paper describes the design of model predictive control (MPC) for an unmanned aerial vehicle (UAV) used to track objects of interest identified by a real-time camera vision (CV) module in a search and track (SAT) autonomous system. A fully functional UAV payload is introduced, which includes an infra-red (IR) camera installed in a two-axis gimbal system. Hardware-in-loop (HIL) simulations are performed to test the MPC's performance in the SAT system, where the gimbal attitude and the UAV's flight trajectory are optimized to place the object to be tracked in the center of the IR camera's image.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.titleAutonomous search and tracking of objects using model predictive control of unmanned aerial vehicle and gimbal: Hardware-in-the-loop simulation of payload and avionicsnb_NO
dc.typeConference objectnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2016-01-05T09:15:28Z
dc.source.pagenumber904-913
dc.source.journal2015 International Conference on Unmanned Aircraft Systems (ICUAS)nb_NO
dc.identifier.doi10.1109/ICUAS.2015.7152377
dc.identifier.cristin1254141
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.nb_NO


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